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这是sift特征提取源码，详细介绍了算法原理及应用，对图像图形处理专业人员的重要参考价值！(This is the sift feature extraction source, and detailed algorithm and application of important reference value for image and graphics professionals!)

感兴趣区域提取，能用于车牌号及台风等图像，效果不错(Extract the interesting area, it can be used in license plate number and typhoons images and so on, has good results )

Bayer图像格式转化为标准RGB格式 Bayer图像格式转化为标准RGB格式(Bayer image format into a standard RGB format Bayer image format into a standard RGB format)

利用块稀疏的方法求解感知矩阵，在压缩感知、图像恢复方面都可以应用(Method for solving block sparse perception matrix in compressed sensing, image restoration can be applied)

用matlab编写的harris角点检测与匹配程序，适用于matlab图像处理与编程(Matlab prepared with harris corner detection and matching procedures, applicable to matlab image processing and programming)

matlab模拟退火工具箱，包含模拟退火运行所需的各种函数，是模拟退火的一个非常有力的工具。(simulated annealing Matlab toolbox contains simulated annealing operation of the various functions, Simulated Annealing is a very powerful tool.)

模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术(Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

双目立体视觉，采用两张图像恢复三维形状，外国人的一个开源项目。(System Prototype to make 3D reconstruction solution using stereo images. It works with common cameras and not require large amount of memory during the images processing. It provides a low cost solution to educational environments with low budgets. )

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)